Zobrazeno 1 - 10
of 156
pro vyhledávání: '"Van, Truong Nguyen"'
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103459- (2024)
In the field of robotic grasping, 2D pose estimation algorithms are outdated and insufficient for modern requirements. Transitioning to 6D pose estimation of objects offers, particularly through deep learning methods, significantly improved performan
Externí odkaz:
https://doaj.org/article/44da854700b14e269c26f66ae89e1b77
Autor:
Van-Truong Nguyen, Quoc-Cuong Nguyen, Mien Van, Van-Tuan Nguyen, Duc-Hung Pham, Duc-Canh Nguyen
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102916- (2024)
Pendubot has been widely applied as a benchmark platform for control research and education. In this paper, a novel adaptive fuzzy hierarchical sliding mode controller (AFHSMC) is proposed for the pendubot under actuator faults and uncertainties. The
Externí odkaz:
https://doaj.org/article/29b726fb2606493196495c7a99785af1
Autor:
Van-Truong Nguyen, Quoc-Cuong Nguyen, Mien Van, Shun-Feng Su, Harish Garg, Dai-Nhan Duong, Phan Xuan Tan
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 61, Iss , Pp 101914- (2025)
This paper presents a new adaptive nonlinear proportional integral derivative radial basis function neural network (NPID-RBFNN) for ballbots with external force. The proposed controller is designed based on a hybrid of a nonlinear proportional integr
Externí odkaz:
https://doaj.org/article/a40291cf44564b74a23f9843ad2e8179
Autor:
Ngo, Manh Huu, Le, Van Thao, Gandham, Bharat, Nguyen, Van Anh, Le, Duy Han, Van, Truong Nguyen, Van, Tuan Nguyen
Publikováno v:
In Journal of Manufacturing Processes 6 January 2023 85:894-903
Publikováno v:
In Transportation Research Part A December 2022 166:118-134
Autor:
Van-Truong Nguyen, Duc-Tuan Chu
Publikováno v:
Journal of Robotics, Vol 2023 (2023)
Speed and accuracy are important parts of the human tracking system. To design a system that tracks the target human working well in real time, as well as on mobile devices, a tracking real-time target human system is proposed. First, real-time human
Externí odkaz:
https://doaj.org/article/9d8103623b8d4ad4a621b3c7ed06f1a0
An Improvement of the Camshift Human Tracking Algorithm Based on Deep Learning and the Kalman Filter
Publikováno v:
Journal of Robotics, Vol 2023 (2023)
Automated human tracking in real time has been applied in many areas such as security, surveillance, traffic control, and robots. In this paper, an improvement of the Camshift human tracking algorithm based on deep learning and the Kalman filter is p
Externí odkaz:
https://doaj.org/article/b2b77df3f4894eeca6d9fd7f45aa3df9
Publikováno v:
Journal of Robotics & Control (JRC); 2024, Vol. 5 Issue 4, p1128-1136, 9p
Publikováno v:
IEEE Access, Vol 9, Pp 71262-71276 (2021)
Computing-in-memory (CIM) is a promising approach to reduce latency and improve the energy efficiency of the multiply-and-accumulate (MAC) operation under a memory wall constraint for artificial intelligence (AI) edge processors. This paper proposes
Externí odkaz:
https://doaj.org/article/3207d958e32941b089e9f1893de91e63
Autor:
Thu Thuy Pham, Tan Phuong Vu, Tuan Long Hoang, Thi Linh Chi Dao, Dinh Tien Nguyen, Duc Chien Pham, Le Huyen Trang Dao, Van Truong Nguyen, Nguyen Viet Hoa Hoang
Publikováno v:
Frontiers in Forests and Global Change, Vol 4 (2022)
This paper analyzes the effectiveness of existing financial incentives for mangrove conservation in Vietnam. Current conservation programs and projects have created financial incentives for mangrove protection, but the effectiveness of these incentiv
Externí odkaz:
https://doaj.org/article/a2d9d181e15a46e6b913d55248056d40